驾驶仿真论文趋势 2023–2026

主要结论

• 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
• NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
• ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
• ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025A compressive-expressive communication framework for compositional representations
• ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
• ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
• CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
• NeurIPS 2026A Bitter Lesson for Data Filtering
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
• CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for

全部驾驶仿真论文

共 182 篇，第 2 / 4 页

51. ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
52. ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
53. ICLR 2023Extremely Simple Activation Shaping for Out-of-Distribution Detection
54. ICLR 2023Faster Gradient-Free Methods for Escaping Saddle Points
55. ICLR 2023Finding Actual Descent Directions for Adversarial Training
56. ICLR 2023FIT: A Metric for Model Sensitivity
57. ICLR 2023FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
58. ICLR 2023Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
59. ICLR 2023Geometrically regularized autoencoders for non-Euclidean data
60. ICLR 2023Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models
61. ICLR 2023Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution
62. ICLR 2023H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
63. ICLR 2023Hidden Markov Transformer for Simultaneous Machine Translation
64. ICLR 2023Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
65. ICLR 2023How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
66. ICLR 2023How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
67. ICLR 2023How to prepare your task head for finetuning
68. ICLR 2023Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations
69. ICLR 2023Identifiability Results for Multimodal Contrastive Learning
70. ICLR 2023Implicit Regularization for Group Sparsity
71. ICLR 2023In-sample Actor Critic for Offline Reinforcement Learning
72. ICLR 2023Incremental Learning of Structured Memory via Closed-Loop Transcription
73. ICLR 2023Information Plane Analysis for Dropout Neural Networks
74. ICLR 2023InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
75. ICLR 2023Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
76. ICLR 2023ISAAC Newton: Input-based Approximate Curvature for Newton's Method
77. ICLR 2023Iterative Patch Selection for High-Resolution Image Recognition
78. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
79. ICLR 2023Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
80. ICLR 2023Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations
81. ICLR 2023Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
82. ICLR 2023Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward
83. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
84. ICLR 2023Learning Controllable Adaptive Simulation for Multi-resolution Physics
85. ICLR 2023Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
86. ICLR 2023Learning differentiable solvers for systems with hard constraints
87. ICLR 2023Learning Human-Compatible Representations for Case-Based Decision Support
88. ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
89. ICLR 2023Learning Iterative Neural Optimizers for Image Steganography
90. ICLR 2023Learning Label Encodings for Deep Regression
91. ICLR 2023Learning to Grow Pretrained Models for Efficient Transformer Training
92. ICLR 2023Learning Uncertainty for Unknown Domains with Zero-Target-Assumption
93. ICLR 2023Learning with Auxiliary Activation for Memory-Efficient Training
94. ICLR 2023Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
95. ICLR 2023Leveraging Large Language Models for Multiple Choice Question Answering
96. ICLR 2023Limitless Stability for Graph Convolutional Networks
97. ICLR 2023Localized Randomized Smoothing for Collective Robustness Certification
98. ICLR 2023LPT: Long-tailed Prompt Tuning for Image Classification
99. ICLR 2023LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
100. ICLR 2023MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

常见问题

2023–2026 年四大会议一共有多少篇驾驶仿真论文？

共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。

NeurIPS 2026 有多少篇驾驶仿真论文？

NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。

ICLR 2026 有多少篇驾驶仿真论文？

ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。

ICML 2026 有多少篇驾驶仿真论文？

ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。

CVPR 2026 有多少篇驾驶仿真论文？

CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。

哪个会议的驾驶仿真论文最多？

NeurIPS，2023–2026 年共 2,111 篇。